Build the foundation.
Technical health, crawlability, information architecture, structured data, internal linking, page quality, and product data.
Pause or cancel anytime. Unused service days are refunded.
These are not three disconnected retainers. We use technical SEO, answer-first content, and generative-engine signals together to make your brand easier to retrieve, understand, cite, mention, link to, and recommend.
Technical health, crawlability, information architecture, structured data, internal linking, page quality, and product data.
Clear responses, evidence modules, comparisons, FAQs, and pages designed around the questions buyers actually ask.
Entity consistency, third-party sources, citation opportunities, category context, and content AI systems can confidently retrieve.
Many visibility tools limit the work to a small prompt allowance. Our internal software lets us build the prompt universe around your actual market—buyer stage, use case, product, problem, geography, and competitor—without letting the tool dictate the strategy.
Join one flexible membership. No annual agreement, procurement theater, or junior-team shuffle.
We build the strategy and queue with you, then take the highest-value request through to a useful release.
Get senior analysis and shipped work in steady increments, with the evidence and next move attached.
Todd Piechowski leads every account and owns the strategy. A small technical SEO team supports specialist implementation when needed—without handing your program to a junior generalist.
You do not need to know which prompts, competitors, pages, or technical fixes matter. We build the strategy, ship the work, and track the trend.
We set the roadmap, choose the highest-value work, and keep the program moving. You bring context when you have it—not a finished AEO plan.
We identify the buyer questions worth tracking across ChatGPT, Google AI, Perplexity, and shopping agents, then refine them with your input.
We define the brands AI compares you with, track who gets recommended, and show which sources and claims are influencing the answer.
We assess crawlability, structure, schema, entity consistency, page quality, product data, and the conversion path behind AI-referred visits.
Each month includes 15 purpose-built content updates shaped around your priority prompts, evidence gaps, products, and buyer decisions.
We maintain the baseline, monitor movement over time, and report visibility, citations, source coverage, qualified traffic, and the next priority.
Everything above is included. Add as many priorities as you need; we work through one active request at a time so strategy, technical work, and content stay focused and senior-led.
AscendAssets turns hundreds of tracked prompts and search signals into a clear trend line—so you can see where mentions, citations, links, and AI-referred demand are gaining ground.
Anonymized client performance snapshot. Results reflect one engagement and are not a guarantee of future performance.
In a four-week engagement from Todd’s Vektor10 portfolio, an established luggage brand’s product feed, structured attributes, and owned-source visibility were repaired across 34 SKUs.
Read the sourced case study ↗AI visibility work is too new for bloated scopes and too important for junior execution.
Your $2,000 new-client discount is prefilled. First invoice: $1,995. Then $3,995 monthly. Payment secures your place today; your assigned start date is the first Monday at least three business days after signup.
Not ready to join? Book a 15-minute call →Pause or cancel at any time. If you stop during a month you have already paid for, the unused service days are refunded on a daily prorated basis.
New clients join for $1,995. Use that first month to judge the strategy, pace, output, and usefulness before paying the standard rate.

Before AscendAssets, Todd launched Vektor10, an agentic-commerce agency built to help ecommerce brands understand and improve how they appear across AI discovery and buying experiences.
Vektor10 grew out of seven years at Envision Horizons, where Todd joined as employee number one and later became VP of Growth and Head of AI & Innovation. He led AI strategy, developed early visibility and tracking methods for brands, and saw AI-referred demand begin to appear in client reports.
When existing tools could not explain that demand, Todd built his own monitoring systems. That work became TRACE, the software AscendAssets now uses to connect prompts, competitors, citations, product data, and the next priority. He also wrote Instant Checkout, a book about the shift from search-driven to agent-driven commerce. Today he leads every AscendAssets account directly, with a small technical SEO team supporting specialist implementation.
Email Todd directly ↗You can—and it probably will not hurt if your technical or organic-search foundation has been neglected. The difference is orientation. AscendAssets is AI-native and AEO-first: we begin with how brands are retrieved, cited, compared, and recommended across AI experiences, then use the SEO work that supports those outcomes. We are not adding an AI dashboard onto a conventional SEO retainer. There is real overlap, but AI visibility also requires its own prompt research, source strategy, entity work, measurement, and content decisions.
We do not treat AI visibility as separate from SEO. Technical SEO makes your information accessible and structurally clear. AEO makes pages useful and quotable for direct answers. GEO strengthens the entities, evidence, sources, and context generative systems use to mention, cite, link to, and recommend a brand. The strongest program combines all three.
Programs can cover ChatGPT, Google AI Mode, Google AI Overviews, Microsoft Copilot, Claude, Perplexity, and other category-relevant answer and shopping experiences. The exact mix depends on where your buyers research and which questions influence the decision.
We define the scoreboard around your commercial target. Core measures can include brand share of voice across the selected prompt universe, share of voice versus named competitors, mentions, citations and linked citations, owned-source retrieval, AI-attributed traffic, leads, signups, and—when a product or service can be purchased directly—AI-attributed revenue. The goal is not a generic visibility score; it is measurable progress toward the outcome your business actually wants.
Our internal software lets us maintain and run a strategically designed universe of hundreds of prompts when the category requires it. We are not forced into a tiny sample by a third-party visibility tool’s credit or prompt cap. That means we can track meaningful themes, use cases, buyer stages, products, and competitors instead of overreacting to a handful of questions.
No one can guarantee inclusion in a model’s private training data. Our goal is to create consistent, authoritative, publicly retrievable signals that strengthen your chance of appearing in future training cycles and, more immediately, in the search, retrieval, citation, and recommendation systems AI products use today.
Everything in the membership is included: strategy, prompt and competitor research, trend tracking, technical and AI-quality assessments, 15 targeted content updates each month, entity and source improvements, schema guidance, product-feed recommendations, measurement, and conversion work tied to AI-referred demand.
An update is one focused, ready-to-use content deliverable created for an agreed visibility purpose—for example a new answer section, product or service-page expansion, comparison block, FAQ set, evidence module, source-backed article section, or meaningful revision to an existing page.
Add as many priorities as you need to the shared queue. Strategy, research, technical work, measurement, and content are all included, but we actively work through one primary request at a time so the output stays focused and senior-led.
Most focused requests move within a few business days. Larger technical or content initiatives are broken into useful weekly releases rather than held for one big presentation.
Pause whenever priorities change. If you pause after a monthly payment, we stop active work on the agreed pause date and refund the unused service days remaining in that billing period on a daily prorated basis. Resume later without a new pitch or onboarding process, subject to availability. Your completed work and roadmap remain yours.
Yes. The membership is month to month, with no annual commitment or cancellation maze. You can cancel in the Stripe billing portal to stop your next renewal, or email Todd to end service immediately. If you end service during a month you have already paid for, we refund the unused service days in that billing period on a daily prorated basis.
Your payment secures your place immediately. We assign the first Monday that is at least three business days after signup as your start date and show it as soon as checkout is complete. If you need more time, reply to Todd’s onboarding email within 24 hours and choose a later Monday.
No credible practitioner can. Answers change by model, prompt, user, and time. We improve the evidence AI systems can retrieve, measure a repeatable prompt set, and show what changed with the caveats attached.
Established consumer brands, agencies, and expert service firms with a proven offer, real customers, and a meaningful gap between their reputation and how often AI assistants recommend them.
Join securely for $1,995 today, or bring your website and the buyer question you most want AI to answer with your name to a 15-minute intro call.
Prefer to email? todd@ascendassetsllc.com